DLDB: Extending Relational Databases to Support Semantic Web Queries

reportActive / Technical Report | Accession Number: ADA451847 | Open PDF

Abstract:

We present DLDB, a knowledge base system that extends a relational database management system with additional capabilities for DAMLOIL inference. We discuss a number of database schemas that can be used to store RDF data and discuss the tradeoffs of each. Then we describe how we extend our design to support DAMLOIL entailments. The most significant aspect of our approach is the use of a description logic reasoner to precompute the subsumption hierarchy. We describe a lightweight implementation that makes use of a common RDBMS MS Access and the FaCT description logic reasoner. Surprisingly, this simple approach provides good results for extensional queries over a large set of DAMLOIL data that commits to a representative ontology of moderate complexity. As such, we expect such systems to be adequate for personal or small-business usage.

Author(s):
Pan, Zhengxiang ; Heflin, Jeff
Author Organization(s):
LEHIGH UNIV BETHLEHEM PA DEPT OF COMPUTER SCIENCE AND ELECTRICAL ENGINEERING
Descriptive Note:
Technical rept.
Supplementary Note:
DOI: 10.21236/ADA451847
Pagination:
0015

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Contract/Grant Number(s):
F30602-00-C-0188
Monitor Series:
AFRL
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.2.2_Develop Knowledge and Situational Awareness; JCA_5.2_Understand; JCA_1_Force Support; JCA_6_Net Centric; JCA_1.2_Force Preparation; JCA_6.2.3_Core Enterprise Services; JCA_1.3_Human Capital Management; JCA_8_Building Partnerships
Modernization Areas:
AI and Machine Learning
Communities of Interest:
No COI(s) Identified
Descriptor(s):
*KNOWLEDGE BASED SYSTEMS, *RELATIONAL DATA BASES, *MARKUP LANGUAGES, COMPUTER PROGRAMS, ONTOLOGY, LOGIC, INTERNET, SEMANTICS
Field(s)/Group(s):
Information Science
Keyword(s):
SEMANTIC WEB
Report Date:
2004 Jan 01
Creation Date:
2006 Aug 23